FedHGCDroid: An Adaptive Multi-Dimensional Federated Learning for Privacy-Preserving Android Malware Classification

FedHGCDroid: An Adaptive Multi-Dimensional Federated Learning for Privacy-Preserving Android Malware Classification

With the popularity of Android and its open source, the Android platform has become an attractive target for hackers, and the detection and classification of malware has become a research hotspot. Existing malware classification methods rely on complex manual operation or large-volume high-quality t...

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Bibliographic Details
Main Authors: Changnan Jiang, Kanglong Yin, Chunhe Xia, Weidong Huang
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Entropy
Subjects:
federated learning
malware classification
call graph
adaptive
Online Access:https://www.mdpi.com/1099-4300/24/7/919

Internet

https://www.mdpi.com/1099-4300/24/7/919

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